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RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving


Aug 18, 2021
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

* To Appear in ICCV2021. The code will be released shortly at https://github.com/ruocwang 

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Rethinking Architecture Selection in Differentiable NAS


Aug 10, 2021
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh

* Outstanding Paper Award at ICLR 2021. The code is available at https://github.com/ruocwang/darts-pt 

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When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations


Jun 03, 2021
Xiangning Chen, Cho-Jui Hsieh, Boqing Gong


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Concurrent Adversarial Learning for Large-Batch Training


Jun 01, 2021
Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You


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2.5D Visual Relationship Detection


Apr 26, 2021
Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong


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Robust and Accurate Object Detection via Adversarial Learning


Mar 26, 2021
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

* CVPR 2021. Models are available at https://github.com/google/automl/tree/master/efficientdet/Det-AdvProp.md 

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DrNAS: Dirichlet Neural Architecture Search


Jun 19, 2020
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh


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Stabilizing Differentiable Architecture Search via Perturbation-based Regularization


Feb 12, 2020
Xiangning Chen, Cho-Jui Hsieh


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Searching for Interaction Functions in Collaborative Filtering


Jun 28, 2019
Quanming Yao, Xiangning Chen, James Kwok, Yong Li


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